package com.atguigu.gulimall.search.service.Impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @Author : Jungle
 * @Description :
 */
@Slf4j
@Service
public class MallSearchServiceImpl implements MallSearchService {
    @Autowired
    private RestHighLevelClient client;
    @Autowired
    private ProductFeignService productFeignService;
    //去ES中进行检索

    @Override
    public SearchResult search(SearchParam param) {
        //1、动态构建查询需要的dsl语句
        SearchResult result = null;
        //1、准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);

        try {
            //2、执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            //3、分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }


    /**
     * //1、准备检索请求
     * #模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存〉，排序，分页，高亮,聚合分析
     *
     * @return
     */

    private SearchRequest buildSearchRequest(SearchParam param) {

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         * 1、 #查询： 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存
         */
        //1、构建bool -query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1、must-模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2、 bool-filter  -按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2、 bool-filter  -按照品牌id查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2、 bool-filter  -按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {


            for (String attrStr : param.getAttrs()) {
                //attrs=1_5寸:8寸&attrs=2_16G:8G
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];  //检索属性的id
                String[] attrValues = s[1].split(":");  //这个属性的检索用的值
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }


        }
        //1.2、 bool-filter  -按照是否有库存进行查询
        if (param.getHasStock() != null) {

            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //1.2、 bool-filter  -按照价格区间进行查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //skuPrice=1_500/_500/500_
            // "range": {
            //            "skuPrice": {
            //              "gte": 0,
            //              "lte": 7000
            //            }
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        //把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 2、排序，分页，高亮,
         */
        //2.1排序
        if (!StringUtils.isEmpty(param.getSort())) {

            String[] s = param.getSort().split("_");
            //  sort=hotScore_asc/desc
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2分页
        //    pageNum:1 from :0 size:5  [0,1,2,3,4]
        //    pageNum:2 from 5 size:5  [0,1,2,3,4]
        //计算 ( pageNum-1)*size

        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        //2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        /**
         * 3、聚合分析
         */
        //1、品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);

        //1、品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        // TODO: 2022/7/5 聚合brand
        sourceBuilder.aggregation(brand_agg);

        //2、分类聚合
        TermsAggregationBuilder category_agg = AggregationBuilders.terms("category_agg").field("catalogId").size(50);
        //分类聚合的子聚合（一个分类只有一个名字，所以定义为1）
        category_agg.subAggregation(AggregationBuilders.terms("category_name_agg").field("catalogName").size(1));
        // TODO: 2022/7/5 聚合catalog
        sourceBuilder.aggregation(category_agg);

        // 3、属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId").size(10);
        //聚合分析出attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析出attr_id对应的所有可能的属性值 attrValue  ,这个值有多个
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));

        attr_agg.subAggregation(attr_id_agg);
        // TODO: 2022/7/5 聚合attr
        sourceBuilder.aggregation(attr_agg);

        //
        //log.info("构建的dsl语句==>{}", sourceBuilder.toString());
        // //参数 String[] indices, SearchSourceBuilder source
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }

    /**
     * 构建结果数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //1、返回所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                //高亮设置，需要替换标题
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);



        ////2、返回所有的商品，涉及到的属性信息
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);
            //2、得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);
            //3、得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }

        result.setAttrs(attrVos);


        ////3、返回所有的商品，涉及到的品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1、得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);
            //2、得到品牌的名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);
            //3、得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }

        result.setBrands(brandVos);
        ////4、返回所有的商品，涉及到的分类信息
        ParsedLongTerms category_agg = response.getAggregations().get("category_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = category_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            //得到分类id
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms category_name_agg = bucket.getAggregations().get("category_name_agg");
            String catalog_name = category_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }


        result.setCatalogs(catalogVos);


        //============以上信息可以从聚合信息中获取到============
        ////5、分页信息，页码
        result.setPageNum(param.getPageNum());
        ////6、分页信息，总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        ////7、分页信息，总页码,计算
        long page = total / EsConstant.PRODUCT_PAGESIZE;
        long totalPages = total % EsConstant.PRODUCT_PAGESIZE == 0 ? page : page + 1;
        result.setTotalPages((int) totalPages);


        //为了方便配置分页将页码转为数组
        List<Integer> pageNavs = new ArrayList<>();
        //注意这里要从1开始 并且  i <=
        for (long i = 1; i <= totalPages; i++) {
            pageNavs.add((int) i);
        }
        result.setPageNavs(pageNavs);

        //8、构建面包屑导航功能
        //  属性
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> navVos = param.getAttrs().stream().map(attr -> {
                // 1、分析每一个attrs传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //attrs=2_5 存:6 寸
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                long attrId = Long.parseLong(s[0]);
                R r = productFeignService.attrInfo(attrId);
                result.getAttrIds().add(attrId);
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    //远程调用失败，用id作为名字
                    navVo.setNavName(s[0]);
                }
                //2、取消了面包屑导航，跳转到哪个地方，将请求的url地址url里面的当前置空
                //拿到所有的查询条件，去掉当前
                //attrs=11_麒麟9000
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(navVos);
        }

        //品牌，分类 上面包屑导航
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            // TODO: 2022/7/10 远程查询所有品牌
            R r = productFeignService.brandInfo(param.getBrandId());
            if (r.getCode() == 0) {
                List<BrandVo> brands = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brands) {
                    buffer.append(brandVo.getName()+";");
                    replace = replaceQueryString(param, brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
            }
            navs.add(navVo);
        }
        // TODO: 2022/7/10  分类   不需要导航取消
        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            //注意属性带空格需要特殊处理 java中空格会翻译成”+“  前端会翻译成%20  浏览器和java对空格的处理不一样
            encode = encode.replace("+", "%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&"+key+"=" + encode, "");
    }

}
